Schumm Max, Hu Ming-Yeah, Sant Vivek, Kim Jiyoon, Tseng Chi-Hong, Sanz Javier, Raman Steven, Yu Run, Livhits Masha
Section of Endocrine Surgery, Department of Surgery, University of California-Los Angeles (UCLA) David Geffen School of Medicine, CA.
Section of Endocrine Surgery, Department of Surgery, University of California-Los Angeles (UCLA) David Geffen School of Medicine, CA. Electronic address: https://twitter.com/MingYeahHu.
Surgery. 2023 Jan;173(1):52-58. doi: 10.1016/j.surg.2022.07.028. Epub 2022 Oct 4.
Many adrenal incidentalomas do not undergo appropriate biochemical testing and complete imaging characterization to assess for hormone hypersecretion and malignancy. With the growing availability of clinical narratives in the electronic medical record, automated surveillance using advanced data analytic techniques may represent a promising method to improve management.
A data provisioning process using a series of structured query language scripts was used to abstract all chest and abdominal computed tomography and magnetic resonance imaging reports from an academic health care system in 2018. The narratives and impressions were queried for key text relating to the identification of adrenal incidentalomas. Patients with a history of extra-adrenal malignancy undergoing staging or surveillance imaging were excluded. The prevalence and radiographic characteristics were analyzed. Patients with adrenal incidentalomas newly identified in 2018 were assessed for biochemical testing and nodule stability through August 2021.
Of 36,618 patients queried, 8,557 were excluded owing to a history of extra-adrenal malignancy. Data from 447 patients were flagged by the structured query language scripts and electronically abstracted. On internal validation, 307/447 (69%) patients were correctly identified as having adrenal nodules (1.1% overall prevalence). The median patient age was 67 years, and 56% were female. The median nodule size was 1.7 (IQR 1.3-2.5) cm, 9% were bilateral, and 63% were low density (unenhanced Hounsfield units <10). Adrenal carcinoma was identified in 10 patients. In 2018, 121 patients were diagnosed with a new adrenal incidentaloma. Of 32 (27%) patients who had follow-up imaging at a median of 1.9 years, 97% of nodules were stable in size. Biochemical testing was performed in 53 patients (44%), of which 31 (26%) had complete hormonal assessment; 14 (26%) were functional nodules: 7 aldosterone-secreting, 4 cortisol-secreting, and 3 pheochromocytoma.
Only one-fourth of patients received appropriate biochemical testing after incidental diagnosis of an adrenal nodule, and most nodules with indeterminate imaging characteristics did not undergo follow-up imaging. Advanced data analytic techniques on electronic imaging reports may aid in the clinical identification and improved management of patients with adrenal incidentalomas.
许多肾上腺偶发瘤未接受适当的生化检测和完整的影像学特征分析,以评估激素分泌过多和恶性情况。随着电子病历中临床记录的日益普及,使用先进数据分析技术进行自动监测可能是改善管理的一种有前景的方法。
采用一系列结构化查询语言脚本的数据供应流程,从一个学术医疗系统中提取2018年所有胸部和腹部计算机断层扫描及磁共振成像报告。查询记录和印象,以获取与肾上腺偶发瘤识别相关的关键文本。排除有肾上腺外恶性肿瘤病史且正在接受分期或监测成像的患者。分析患病率和影像学特征。对2018年新发现肾上腺偶发瘤的患者进行生化检测和结节稳定性评估,直至2021年8月。
在查询的36618例患者中,8557例因有肾上腺外恶性肿瘤病史被排除。结构化查询语言脚本标记了447例患者的数据并进行电子提取。内部验证显示,307/447(69%)例患者被正确识别为有肾上腺结节(总体患病率为1.1%)。患者中位年龄为67岁,56%为女性。结节中位大小为1.7(四分位间距1.3 - 2.5)cm,9%为双侧,63%为低密度(平扫霍氏单位<10)。10例患者被诊断为肾上腺癌。2018年,121例患者被诊断为新发肾上腺偶发瘤。在32例(27%)接受中位时间为1.9年随访成像的患者中,97%的结节大小稳定。53例患者(44%)进行了生化检测,其中31例(26%)进行了完整的激素评估;14例(26%)为功能性结节:7例分泌醛固酮,4例分泌皮质醇,3例为嗜铬细胞瘤。
肾上腺结节偶然诊断后,仅四分之一的患者接受了适当的生化检测,且大多数影像学特征不确定的结节未接受随访成像。对电子成像报告采用先进数据分析技术可能有助于肾上腺偶发瘤患者的临床识别和改善管理。